DocumentCode :
2183030
Title :
Architecture-Based Integrated Management of Cloud Resources
Author :
Xing Chen ; Ying Zhang ; Xiaodong Zhang ; Xianghan Zheng ; Wenzhong Guo ; Guolong Chen
Author_Institution :
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
fYear :
2013
fDate :
16-19 Dec. 2013
Firstpage :
474
Lastpage :
481
Abstract :
Cloud management faces with great challenges, due to the diversity of Cloud resources and ever-changing management requirements. For constructing a management system to satisfy a specific management requirement, a redevelopment solution based on existing management system is usually more practicable than developing the system from scratch. However, the difficulty and workload of redevelopment are also very high. As the architecture-based runtime model is causally connected with the corresponding running system automatically, constructing an integrated Cloud management system based on the architecture-based runtime models of Cloud resources can benefit from the model-specific natures, and thus reduce the development workload. Therefore, in this paper, we present an architecture-based approach to managing diverse Cloud resources. First of all, the manageability (such as APIs, configuration files and scripts) of Cloud resources are abstracted as runtime models, which can automatically and immediately propagate any observable runtime changes of the target resources to the corresponding architecture models, and vice versa. Then, a customized model is constructed according to the specific Cloud management requirement. Finally, the operations on the customized model are mapped to the ones on Cloud resource runtime models through model transformation. Thus, all the management tasks can be carried out through executing operations on the customized model. The experiment on a real-world cloud demonstrates the feasibility, effectiveness and benefits of the new approach to integrated management of Cloud resources.
Keywords :
cloud computing; software architecture; software management; architecture-based integrated management; architecture-based runtime model; cloud resources; customized model; integrated cloud management system; model transformation; Complexity theory; Computer architecture; Runtime; Servers; Software; Synchronization; Virtual machining; Cloud Management; Models at Runtime; Software Architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on
Conference_Location :
Fuzhou
Print_ISBN :
978-1-4799-2829-3
Type :
conf
DOI :
10.1109/CLOUDCOM-ASIA.2013.45
Filename :
6821035
Link To Document :
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